Search Results for "python samples" - Page 4

Provide a reference implementation of Moving Taylor Bayesian Regression, a method for nonparametric multi-dimensional function estimation with correlated errors from finite samples, as a Python package based on SciPy

OxygenOffice Professional(OOOP, O2OP)is an enhanced version of free OpenOffice.org what is a multi-platform office productivity suite.OxygenOffice Professional contains more extras like templates, cliparts, samples, fonts and VBA support. Get 3.2.1

Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. It has been renamed "pdatascope" to avoid a name-clash with Pyscope, a scoping package on PyPi. See https://sourceforge.net/p/pydatascope/ for the latest code.

The aim of this project is to create an automated pipeline for taxonomic assignment of DNA sequences obtained from environmental samples. We develop a series of python scripts to process the raw sequence data obtained from benthic environmental samples and to taxonomical assignment of these sequences and finally to integrate all data in a relational database.

The phoenix kit is a collection of tools & working samples to create cross platform role playing games(RPG) of various types including massively multi-player online role playing games (MMORPG).

A library, GUI and sample cli script for managing Data Robotics storage units on Linux. (http://www.drobo.com) There is a library, Drobo.py, which implements the ioctl interface defined in the published specs and code samples.

slurry is a simple python program that plays sounds at random. it is being created primarily for an experimental film screening in June 2010. it will continue to be developed after this.

This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.

LitePay.com opensource integration samples and development core.

Application for the "clipping" of wave files into smaller files. Intended for resizing and creating audio samples.

HTML generation from files templates. Designed for python developpers who want to have a very light templating system for their HTML pages generation. Samples and documentation are provided. Created on the idea of PEAR PHP template ITX.

SIP (Sample Inventory Program) is a web application for managing mass quantities of lab samples. It is the first out-of-the-box Zope 3 app, and is field-proven. SIP may be used as-is, or as inspiration for other Zope 3 apps. (e.g. O/R RDBMS storage)

The PKSampler is a live-dj tool. It is different from other "live DJ tools" in that it focuses on allowing the user to mix lots of samples at once. The focus is on a simple touchscreen interface that allows quick access to user supplied loops and sampl

..., it was fine-tuned on 30 million high-quality aesthetic images and 3 million preference-labeled samples. SD3 Medium is optimized for both local deployment and cloud API use, with support via ComfyUI, Diffusers, and other tooling. It is distributed under the Stability AI Community License, permitting research and commercial use for organizations under $1M in annual revenue. While equipped with safety mitigations, developers are encouraged to apply additional safeguards.

... rate. It's ideal for both inference and fine-tuning, with APIs and command-line tools available. The model powers Coqui Studio and the Coqui API, and can be run locally using Python or through Hugging Face Spaces. Licensed under the Coqui Public Model License, it balances open access with responsible use of generative voice technology.

Llama-2-70B-Chat is Meta’s largest fine-tuned large language model, optimized for dialogue and aligned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF). It features 70 billion parameters and uses a transformer architecture with grouped-query attention (GQA) to improve inference scalability. Trained on 2 trillion tokens from publicly available sources and over a million human-annotated examples, the model outperforms most open-source chat models and...